Merge pull request #5077 from mrbullwinkle/mrb_05_20_2025_deployment_types

[Azure OpenAI] Updates

Author: prmerger-automator[bot]

articles/ai-services/openai/concepts/models.md

@@ -185,9 +185,6 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 |`gpt-4o-mini` (2024-07-18) <br> **GPT-4o mini** | **Latest small GA model** <br> - Fast, inexpensive, capable model ideal for replacing GPT-3.5 Turbo series models. <br> - Text, image processing <br>- JSON Mode <br> - parallel function calling | Input: 128,000 <br> Output: 16,384  | Oct 2023 |
 |`gpt-4o` (2024-05-13) <br> **GPT-4o (Omni)** | Text, image processing <br> - JSON Mode <br> - parallel function calling <br> - Enhanced accuracy and responsiveness <br> - Parity with English text and coding tasks compared to GPT-4 Turbo with Vision <br> - Superior performance in non-English languages and in vision tasks |Input: 128,000  <br> Output: 4,096| Oct 2023 |
 | `gpt-4` (turbo-2024-04-09) <br>**GPT-4 Turbo with Vision** | **New GA model** <br> - Replacement for all previous GPT-4 preview models (`vision-preview`, `1106-Preview`, `0125-Preview`). <br> - [**Feature availability**](#gpt-4o-and-gpt-4-turbo) is currently different depending on method of input, and deployment type. | Input: 128,000  <br> Output: 4,096  | Dec 2023 |
-| `gpt-4` (0125-Preview)*<br>**GPT-4 Turbo Preview** | **Preview Model** <br> -Replaces 1106-Preview <br>- Better code generation performance <br> - Reduces cases where the model doesn't complete a task <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096           | Dec 2023         |
-| `gpt-4` (vision-preview)<br>**GPT-4 Turbo with Vision Preview**  | **Preview model** <br> - Accepts text and image input. <br> - Supports enhancements <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096              | Apr 2023       |
-| `gpt-4` (1106-Preview)<br>**GPT-4 Turbo Preview** | **Preview Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096 | Apr 2023         |
 | `gpt-4-32k` (0613) | **Older GA model** <br> - Basic function calling with tools  | 32,768               | Sep 2021         |
 | `gpt-4` (0613)     | **Older GA model** <br> - Basic function calling with tools | 8,192                | Sep 2021         |
 | `gpt-4-32k`(0314)  | **Older GA model** <br> - [Retirement information](./model-retirements.md#current-models) | 32,768               | Sep 2021         |
@@ -196,11 +193,6 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 > [!CAUTION]
 > We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable GA version. Models that are designated preview don't follow the standard Azure OpenAI model lifecycle.
 
-- GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.  
-- GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview. Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview.  We recommend customers compare the outputs of the new model.  GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. 
-- GPT-4 version `turbo-2024-04-09` is the latest GA release and replaces `0125-Preview`, `1106-preview`, and `vision-preview`.
-
-
 ## GPT-3.5
 
 GPT-3.5 models can understand and generate natural language or code. The most capable and cost effective model in the GPT-3.5 family is GPT-3.5 Turbo, which has been optimized for chat and works well for traditional completions tasks as well. GPT-3.5 Turbo is available for use with the Chat Completions API. GPT-3.5 Turbo Instruct has similar capabilities to `text-davinci-003` using the Completions API instead of the Chat Completions API.  We recommend using GPT-3.5 Turbo and GPT-3.5 Turbo Instruct over [legacy GPT-3.5 and GPT-3 models](./legacy-models.md).
@@ -211,9 +203,6 @@ GPT-3.5 models can understand and generate natural language or code. The most ca
 | `gpt-35-turbo` (0125) **NEW** | **Latest GA Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) <br> - Higher accuracy at responding in requested formats. <br> - Fix for a bug which caused a text encoding issue for non-English language function calls.  | Input: 16,385<br> Output: 4,096  | Sep 2021 |
 | `gpt-35-turbo` (1106) | **Older GA Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 16,385<br> Output: 4,096 |  Sep 2021|
 | `gpt-35-turbo-instruct` (0914) | **Completions endpoint only** <br> - Replacement for [legacy completions models](./legacy-models.md) | 4,097 |Sep 2021 |
-| `gpt-35-turbo-16k` (0613) | **Older GA Model** <br> - Basic function calling with tools | 16,384 | Sep 2021 |
-| `gpt-35-turbo` (0613) | **Older GA Model** <br> - Basic function calling with tools   | 4,096 | Sep 2021 |
-| `gpt-35-turbo`**<sup>1</sup>** (0301) |  **Older GA Model**  <br> - [Retirement information](./model-retirements.md#current-models) | 4,096 | Sep 2021 |
 
 To learn more about how to interact with GPT-3.5 Turbo and the Chat Completions API check out our [in-depth how-to](../how-to/chatgpt.md).
 

articles/ai-services/openai/how-to/deployment-types.md

@@ -34,6 +34,9 @@ If the Azure OpenAI resource used in your Data Zone deployment is located in the
 
 For any [deployment type](/azure/ai-services/openai/how-to/deployment-types) labeled 'Global,' prompts and responses may be processed in any geography where the relevant Azure OpenAI model is deployed (learn more about [region availability of models](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability)). For any deployment type labeled as 'DataZone,' prompts and responses may be processed in any geography within the specified data zone, as defined by Microsoft. If you create a DataZone deployment in an Azure OpenAI resource located in the United States, prompts and responses may be processed anywhere within the United States. If you create a DataZone deployment in an Azure OpenAI resource located in a European Union Member Nation, prompts and responses may be processed in that or any other European Union Member Nation. For both Global and DataZone deployment types, any data stored at rest, such as uploaded data, is stored in the customer-designated geography. Only the location of processing is affected when a customer uses a Global deployment type or DataZone deployment type in Azure OpenAI in Azure AI Foundry Models; Azure data processing and compliance commitments remain applicable.
 
+> [!NOTE]
+> Deployment types do not provide high availability to your Azure OpenAI resource. Even with global and data zone deployment types if the primary region experiences an interruption in service all traffic that is initially routed to this region will be impacted. To learn more, consult the [business continuity and disaster recovery guide](../how-to/business-continuity-disaster-recovery.md).
+
 ## Global standard
 
 > [!IMPORTANT]